Course of Study Computational Science and Engineering (Study Cohort w18)

Sample course plan S  Master Computational Science and Engineering (IIWMS)
Specialisation Systems Engineering and Robotics
Legend:
Core qualification CompulsorySpecialisation CompulsoryFocus CompulsoryThesis Compulsory
Core qualification Elective CompulsorySpecialisation Elective CompulsoryFocus Elective CompulsoryInterdisciplinary complement
LP
Semester 1FormHrs/wk
Semester 2FormHrs/wk
Semester 3FormHrs/wk
Semester 4FormHrs/wk
1
Digital Image Analysis
Digital Image AnalysisVL4
Pattern Recognition and Data Compression
Pattern Recognition and Data CompressionVL4
Research Project and Seminar
SeminarSE2
Project WorkPK10
Master Thesis
2
3
4
5
6
7
Efficient Algorithms
Efficient AlgorithmsVL2
Efficient AlgorithmsUE2
Information Theory and Coding
Information Theory and CodingVL3
Information Theory and Coding1
8
9
10
11
12
13
Digital Communications
Digital CommunicationsVL2
Digital Communications1
Laboratory Digital CommunicationsPR1
Discrete Differential Geometry
Discrete Differential GeometryVL4
14
15
16
17
18
19
Digital Signal Processing and Digital Filters
Digital Signal Processing and Digital FiltersVL3
Digital Signal Processing and Digital Filters1
3D Computer Vision
3D Computer VisionVL2
3D Computer VisionUE2
20
21
22
23
24
25
Mathematical Image Processing
Mathematical Image ProcessingVL3
Mathematical Image ProcessingUE1
Numerical Methods for Medical Imaging
Numerical Methods for Medical ImagingVL2
Numerical Methods for Medical ImagingUE2
26
27
28
29
30
Business & Management (from catalogue) - 6LP
Nontechnical Elective Complementary Courses for Master (from catalogue) - 6LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.